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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40866

Title: Reinforcement Learning with FCMAC for TRMS Control
Authors: Jih-Gau Juang
Yi-Chong Chiang
Contributors: 國立臺灣海洋大學:通訊與導航工程學系
Keywords: twin rotor MIMO system
Fuzzy CMAC
PID control
reinforcement learning
Date: 2013
Issue Date: 2017-02-07T03:07:10Z
Publisher: Research Journal of Applied Sciences, Engineering and Technology
Abstract: Abstract: This study proposes an intelligent control scheme that integrate reinforcement learning in Fuzzy CMAC (FCMAC) for a Twin Rotor Multi-input and multi-output System (TRMS). In the control design, fuzzy CMAC controller is utilized to compensate for PID control signal and the reinforcement learning refines the compensation to the control signal. CMAC with fuzzy system has better performance than the conventional CMAC in TRMS attitude tracking control. With reinforcement learning, the proposed control scheme provides even better performance and control for the TRMS.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40866
Appears in Collections:[通訊與導航工程學系] 期刊論文

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